Triple
T14671254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenhai Yongshi |
E344516
|
entity |
| Predicate | hasViewports |
P84234
|
FINISHED |
| Object | 3 acrylic viewports |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 3 acrylic viewports | Statement: [Shenhai Yongshi, hasViewports, 3 acrylic viewports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViewports Context triple: [Shenhai Yongshi, hasViewports, 3 acrylic viewports]
-
A.
numberOfViewports
chosen
Indicates the count of distinct viewports or viewing areas associated with a given entity or context.
-
B.
hasView
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
-
C.
hasNumberOfScreens
Indicates the quantity of screens associated with or contained in a given entity.
-
D.
hasWindowDepicting
Indicates that one entity possesses a window on which the other entity is depicted or represented.
-
E.
supportsWindowedMode
Indicates that an entity provides or allows operation in a windowed (non-fullscreen) display mode.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ef2908190b189ced65eec434a |
completed | April 14, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:27 a.m.